Alpha Lithium Stock Market Value
ALLIF Stock | USD 0.10 0.05 33.33% |
Symbol | Alpha |
Alpha Lithium 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Alpha Lithium's otc stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Alpha Lithium.
10/31/2023 |
| 11/24/2024 |
If you would invest 0.00 in Alpha Lithium on October 31, 2023 and sell it all today you would earn a total of 0.00 from holding Alpha Lithium or generate 0.0% return on investment in Alpha Lithium over 390 days. Alpha Lithium is related to or competes with South Star, and Mundoro Capital. Atlantic Lithium Limited engages in the exploration and development of mineral properties in West Africa More
Alpha Lithium Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Alpha Lithium's otc stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Alpha Lithium upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.06) | |||
Maximum Drawdown | 66.67 | |||
Value At Risk | (20.00) | |||
Potential Upside | 9.52 |
Alpha Lithium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Lithium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Lithium's standard deviation. In reality, there are many statistical measures that can use Alpha Lithium historical prices to predict the future Alpha Lithium's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.71) | |||
Total Risk Alpha | (2.14) | |||
Treynor Ratio | (0.28) |
Alpha Lithium Backtested Returns
Alpha Lithium secures Sharpe Ratio (or Efficiency) of -0.0547, which signifies that the company had a -0.0547% return per unit of risk over the last 3 months. Alpha Lithium exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alpha Lithium's Risk Adjusted Performance of (0.03), standard deviation of 10.4, and Mean Deviation of 6.25 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.77, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Alpha Lithium will likely underperform. At this point, Alpha Lithium has a negative expected return of -0.57%. Please make sure to confirm Alpha Lithium's treynor ratio and the relationship between the skewness and price action indicator , to decide if Alpha Lithium performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.62 |
Good predictability
Alpha Lithium has good predictability. Overlapping area represents the amount of predictability between Alpha Lithium time series from 31st of October 2023 to 13th of May 2024 and 13th of May 2024 to 24th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alpha Lithium price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Alpha Lithium price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.62 | |
Spearman Rank Test | 0.36 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Alpha Lithium lagged returns against current returns
Autocorrelation, which is Alpha Lithium otc stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Alpha Lithium's otc stock expected returns. We can calculate the autocorrelation of Alpha Lithium returns to help us make a trade decision. For example, suppose you find that Alpha Lithium has exhibited high autocorrelation historically, and you observe that the otc stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Alpha Lithium regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Alpha Lithium otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpha Lithium otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpha Lithium otc stock over time.
Current vs Lagged Prices |
Timeline |
Alpha Lithium Lagged Returns
When evaluating Alpha Lithium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpha Lithium otc stock have on its future price. Alpha Lithium autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Alpha Lithium autocorrelation shows the relationship between Alpha Lithium otc stock current value and its past values and can show if there is a momentum factor associated with investing in Alpha Lithium.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Alpha OTC Stock
Alpha Lithium financial ratios help investors to determine whether Alpha OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Alpha with respect to the benefits of owning Alpha Lithium security.